Place Finding and Optimizing the Determination of Production Units Dynamically for Providing the Electricity and Heat in Industrial City

In this article the place and capacity of combined heat and power [CHP] prediction unit wasdetermined dynamically with use of modified particle swarm optimization (MPSO). It was done inoptimization palace and with a capacity of CHP as a production resource with the aim to increasethe reliability capacity. Decrease the loss and provide the electrical and thermal energies ofindustrial city. The function of the optimization to the interest of CHP usage was described on itscost. It was considered as the cost of investments, operation, and Repair and keeping the CHPunits in the function. It was proposed that load distribution and limits of CHP production be seenas units’ condition as optimization issue condition. The problem was described as dynamicprogramming and it was used based on the interests of programming and inflation annually in thedetermined and thermal energies’ price. The simulation results show the positive effects of CHPunits in the electrical energy production of industrial city.